Generative AI Certifications

Generative AI

  • Last updated 10/2024
  • Certified Course
Security

Generative AI

About The Course

Artificial intelligence stands out for its ability to revolutionise businesses by automating tasks, optimising processes and unlocking new possibilities for innovation. As AI evolves and integrates into our daily lives, understanding its potential and limitations is important for individuals and businesses.

LearninGT by Grant Thornton Bharat is pleased to launch its ‘Certificate in Generative AI’ to equip professionals working in different domains with a deep understanding of generative AI and its practical applications in the modern business landscape.

Why join the Generative AI course?

  • To master the art of prompt engineering and effectively communicate with AI systems
  • To apply generative AI tools within Microsoft 365 to enhance productivity and creativity
  • To leverage artificial intelligence for planning and advanced analytics
  • To integrate artificial intelligence into existing systems and automate routine tasks

Who should attend?

  • Business professionals
  • Tech enthusiasts
  • CXOs, managers and team leaders
  • HR and administrative staff
  • Marketing and creative professionals
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Certificate

  • Duration: 16 hours
  • Number of Question: 80-100
  • Format: Multiple choices

Prerequisites

  • Anyone having interest in Web Designing.
  • Knowledge of using computer.
  • Basic internet skills.

Training - Deliverables

  • Training
  • Books
  • CD's
  • Participation Certificate
  • Regular Track: 04 Months (120 Days)
  • Exam Duration: 3 Hours

Topics Covered

  • Introduction to generative AI
  • Fundamentals of generative and large language models
  • Applications of generative AI in business

  • Understanding prompt engineering
  • Advanced prompt engineering strategies
  • Fine-tuning and customisation techniques

  • Overview of workflow automation
  • Creating task bots using UiPath StudioX
  • Document management using generative AI

  • Creating presentations, process maps and managing workflow
  • Campaign creation, optimisation and lead generation
  • Using Copilot for use cases beyond text generations

  • Introduction to generative AI in software development
  • Automated code generation
  • Testing and debugging with generative AI

  • Building applicant tracking system (ATS)-friendly resume
  • Enhancing LinkedIn profile
  • Leveraging generative AI in job search

  • Understanding ethical considerations of using generative AI
  • Privacy and security implications
  • Responsible use and mitigating bias
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